Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Dat...

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud. This practical book provides a comprehensive overview that shows architects, administrators, developers, data engineers, and marketers how to ingest, store, and manage real-time customer data with the Data Cloud. Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's no-code / low-code functionality to expertly build a Data Cloud foundation that allows you to utilize AI to its fullest, not only within the Salesforce platform but also with third-party machine learning services like AWS SageMaker and Google Vertex.
This book will help you:

[*]Develop a plan to execute a CDP project effectively and efficiently
[*]Connect Data Cloud to external data sources and build out a Customer 360 Data Model
[*]Leverage data sharing capabilities with Snowflake, BigQuery, Databricks, and Azure
[*]Use Salesforce Data Cloud capabilities for identity resolution and segmentation
[*]Create calculated, streaming, visualization, and predictive insights
[*]Use Data Graphs to power Salesforce Einstein capabilities
[*]Learn Data Cloud best practices for all phases of the development lifecycle